Abstract: Urban waterlogging problems become more and more serious with the continuous acceleration of urbanization. In order to solve this problem effectively and analyze the causes, taking Shengjiaji area in Wuhan City as an example, based on Storm Water Management Model (SWMM), the urban drainage model was constructed combined with urban DEM data and rainwater pipe network data, and drainage capacity of rain pipes with different rainfall peak coefficient and runoff coefficient was simulated by taking the number of overflow rainwater wells and the length of overloaded pipe sections as evaluation indexes, and the influence of rainfall peak coefficient and runoff coefficient on urban drainage was evaluated by normalizing the evaluation indexes. The results show that: ① the runoff coefficient and rainfall peak coefficient are positively correlated with the number of overflow rainwater wells and the length of overloaded pipe sections. The increase of runoff coefficient and rainfall peak coefficient will aggravate urban waterlogging, and the effect of runoff coefficient on urban waterlogging is more severe than that of rainfall peak coefficient. ②the relative sensitivity under different evaluation indexes varies significantly according to different categories. The runoff coefficient has a greater impact on surface water, while the rainfall peak location coefficient has a greater impact on pipe section overload.